Markus’s Brain Swap Space

Recent posts

Kibana is the web UI to visualize data in the data store called Elasticsearch.
It’s the user facing component in the Elastic Stack, formerly called
ELK stack. This post is based on previous posts which show the basics
of Logstash and Elasticsearch and will talk about a few ways how Kibana can help you
make sense out of your logs.

Ubuntu is great in my opinion, and of the reasons for it is its use of
recent versions for the packages in their APT repositories. But what if
you need a package in an even more recent version and cannot wait for the
next release? The Debian Sid release, the unstable development version, has
those newer packages and they can be used in an Ubuntu with the help of
APT package pinning and this post shows the things you need to know for that.

The Go programming language is currently fashionable, and it’s been four
years since the last time I started to learn a new programming language
(Python), so I decided to start a series about my learning attempts.
As I also want to know more about Kubernetes, my goal is to
learn enough Go in the next few months to read the Kubernetes code base
comfortably. As a starting point for this multi-part series, I’ve chosen
Conway’s Game of Life[1], because its rules are simple but more
complex than a typical hello world example.

Presentation slides. They can be a great tool for communicating ideas
to others. I was looking for a way to create slide decks where I can
specify the content as plain text and have it separate to the rendering.
I’m sure this is somehow possible with PowerPoint or OpenOffice,
but I didn’t bother to look for it. This post shows how I specify the
content in a Markdown file and let it render by Reveal.js which
I packed into a Docker image.

This is a follow-up to the previous post
Elastic Stack (formerly ELK) - Logstash (Part 1).
We continue were we left of the last time, and dive right into it.
No intro, no explanation of concepts or terms, only configuration of
Logstash pipelines.

In this post I’ll talk about the Logstash service, which is part of the
Elastic Stack, formerly known as ELK stack. The purpose of Logstash is to
ingest (logging) data, do some transformation or filtering on it,
and output it into a data store like Elasticsearch. For details about Elasticsearch, you
can get more information in my previous post
Elastic Stack (formerly ELK) - Elasticsearch.